Enterprise AI & Data Science Consultant

ABeam Consulting

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

ABeam Consulting in Singapore seeks skilled professionals to design and develop Generative AI and agentic AI solutions, building end-to-end AI-powered applications and scalable cloud architectures. You will work across responsibilities from solution design, client advisory, and workshops to pre-sales support, leveraging Copilot Studio, LangChain, and enterprise AI tools.

The role requires a strong background in Python, ML, APIs, and modern web tech, with experience in financial services or

Qualifications

  • Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or a related field.
  • Minimum 3 years of relevant experience in Generative AI, Agentic AI, ML, Data Science, Advanced Analytics, or AI/ML app development.
  • Strong programming in Python with libraries like NumPy, Pandas, Scikit-learn; data visualization.
  • Experience building APIs/backend using FastAPI or Flask.
  • Familiarity with modern web technologies (JavaScript/TypeScript/React).
  • Strong SQL skills with complex queries and data modelling.
  • Hands-on with Generative AI, LLMs, prompt engineering, RAG, embeddings, vector databases.
  • Experience with AI-powered apps and agentic AI using AI agent frameworks or Copilot Studio.
  • Solid knowledge of ML algorithms, statistics, and data science methodologies.
  • Experience with model evaluation, hyperparameter tuning, experiments, A/B testing.
  • Familiarity with TensorFlow or PyTorch.
  • Experience creating dashboards with Power BI/Tableau/Plotly.
  • Hands-on with cloud platforms including AI/ML services.
  • Strong analytical, problem-solving, and communication skills; ability to translate business requirements into technical solutions.
  • Ability to communicate with both technical and non-technical stakeholders.
  • Learning agility and passion for emerging AI tech.
  • Experience in financial services, trading, supply chain, or related industries.
  • Business-level Japanese language proficiency (spoken and written).
  • Experience with LangChain, Semantic Kernel, multi-agent orchestration frameworks, or enterprise AI platforms is advantageous.
  • Knowledge of MLOps, CI/CD, containers, and DevOps.
  • Prior consulting or client-facing experience preferred.

Responsibilities

  • Design and develop AI-powered applications using Generative AI, LLMs, and enterprise AI platforms.
  • Build and integrate end-to-end AI solutions, including frontend, backend, APIs, and enterprise systems.
  • Develop agentic AI solutions using platforms such as Microsoft Copilot Studio and AI agent frameworks.
  • Design secure and scalable cloud-based AI architectures.
  • Keep abreast of emerging trends and technologies in Generative AI and Agentic AI.
  • Translate business requirements into AI and data-driven solutions.
  • Collaborate with clients to identify use cases, define solution approaches, and develop implementation roadmaps.
  • Conduct workshops and stakeholder discussions on AI adoption, data strategy, and solution design.
  • Present analytical insights and technical recommendations to business stakeholders.
  • Develop demonstrations, prototypes, and PoCs to support client engagements.
  • Assist in solution presentations, proposals, and business development activities.
  • Showcase AI and data science capabilities to prospective clients and stakeholders.

Skills

Python
SQL
Data analysis
Machine Learning
API design
Cloud platforms
Communication
Problem solving

Education

Bachelor's degree in CS/Data Science/Engineering

Tools

FastAPI
Flask
Power BI
Tableau
LangChain
RAG
Azure/AWS/GCP

Job description

ABeam Consulting in Singapore seeks skilled professionals to design and develop Generative AI and agentic AI solutions, building end-to-end AI-powered applications and scalable cloud architectures. You will work across responsibilities from solution design, client advisory, and workshops to pre-sales support, leveraging Copilot Studio, LangChain, and enterprise AI tools.

The role requires a strong background in Python, ML, APIs, and modern web tech, with experience in financial services or

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